Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T179E1B655700041A563138FC5E661BD54B0A2FB3ECED55D8052FA82F81EE7FF4BA09A72 |
|
CONTENT
ssdeep
|
96:T6U1pQwKGYhb2n2bPapX2M8VG6LaZASGpNQ6mGwb6FyACb8oBTlfeMYqDW:+WGw+2n2bPlLaZASWNQ6mV4yACbT4b/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
885d6336b7238d99 |
|
VISUAL
aHash
|
00181818191b1f1f |
|
VISUAL
dHash
|
4cb3b3b3b3b3f3ff |
|
VISUAL
wHash
|
0018181b1f1f3fff |
|
VISUAL
colorHash
|
02406008000 |
|
VISUAL
cropResistant
|
aaea968afaf03386,4cb3b3b3b3b3f3ff |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 68 techniques to evade detection by security scanners and make reverse engineering more difficult.
Drainer supports multiple blockchain networks and checks for high-value tokens on each chain before executing drain operations.